NVIDIA 发布 Kumo Tabular 开源表格预测基础模型
原标题：NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction
AI 摘要
NVIDIA 在 Hugging Face 上发布开源表格基础模型 Kumo Tabular，属于 Kumo Structured 模型集合。该模型在带标签表格上无需训练、调参或特征工程，单次前向传播即可完成分类和回归预测，并在 TabArena、BeyondArena、TALENT 和 ScoringBench 四个基准上排名第一。模型仅用人工数据预训练，提供 28M 至 215M 三种参数规模，采用 OpenMDW-1.1 许可允许商业使用。
正文节选
NVIDIA Kumo Tabular, part of the NVIDIA Kumo Structured model collection, is an open foundation model for tabular data now available on Hugging Face. Given a table of labeled rows, it predicts the labels of new rows in a single forward pass, with no training, no tuning, and no feature engineering, for both classification and regression. It was pretrained only on artificial data, comes in three sizes (28M to 215M parameters), runs through our open-source library, and is released under the OpenMDW